Key skills
Distributed SystemsAICaching
About this role
Role Overview
- Build and operate backend systems that serve AI-powered features in production.
- Design inference pipelines, orchestration layers, and service boundaries around models.
- Own production concerns: monitoring, logging, alerting, and incident response.
- Optimize latency and throughput across inference, caching, batching, and streaming.
Requirements
- Strong backend engineering fundamentals in production environments.
- Experience running high-throughput, low-latency services.
- Familiarity with AI inference patterns (LLMs, embeddings, multimodal).
- Comfortable debugging distributed systems under load.
- Bias toward shipping and learning from production behavior.
Tech Stack
- Distributed Systems
Benefits
- The best products today in the world were built by small, world class teams.
- Competitive salary and transparent career progression.
- Flexibility in choosing your work hours.
- Work with talented people in a results-oriented environment.